Nonlinear principal component analysis of noisy data.

William W. Hsieh

Published in: Neural Networks (2007)

Keyphrases

noisy data
principal component analysis
linear filters
kernel pca
kernel principal component analysis
missing data
high dimensional
dimensionality reduction

noise tolerant
face recognition
intrinsic dimensionality
noise free
principal components
independent component analysis
high dimensionality
dimension reduction

missing values
linear discriminant analysis
covariance matrix
feature space
learning from noisy data
singular value decomposition
discriminant analysis
low dimensional

support vector machine
training data
data sets
face images
feature extraction
data mining
positive data
neural network